Triple
T1650372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou Railway Station |
E35676
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Xi'an |
E25916
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Xi'an | Statement: [Guangzhou Railway Station, connectsTo, Xi'an]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xi'an Context triple: [Guangzhou Railway Station, connectsTo, Xi'an]
-
A.
Chang'an
Chang'an was the ancient capital of several Chinese dynasties and a major political, cultural, and trade center along the Silk Road.
-
B.
Xianyang, China
Xianyang is a historic city in Shaanxi Province, China, known as the former capital of the Qin dynasty and located near the modern metropolis of Xi’an.
-
C.
X’ian, China
chosen
Xi’an is a major historic city in central China, best known as the ancient capital of several dynasties and home to the famed Terracotta Army.
-
D.
Xinjing
Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
-
E.
Kaifeng
Kaifeng is an ancient city in eastern Henan, China, historically significant as a former capital of several Chinese dynasties and a major cultural and economic center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a66b58c819082d38ef1c805cf44 |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeac40c608190800da8b029ef065a |
completed | March 8, 2026, 9:31 p.m. |
Created at: March 4, 2026, 7:29 p.m.